{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"# Set your own project id here\nPROJECT_ID = 'your-google-cloud-project'\nfrom google.cloud import storage\nstorage_client = storage.Client(project=PROJECT_ID)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nimport cv2\n\n# path = \"../input/yelp-restaurant-photo-classification/train_photos.tgz\"\nimport tarfile\ntar = []\ntar.append(tarfile.open('../input/yelp-restaurant-photo-classification/train_photos.tgz', \"r:gz\"))\ntar.append(tarfile.open('../input/yelp-restaurant-photo-classification/train.csv.tgz', \"r:gz\"))\ntar.append(tarfile.open('../input/yelp-restaurant-photo-classification/train_photo_to_biz_ids.csv.tgz', \"r:gz\"))\n\nfor items in tar:\n    print(items.getmembers())\n    print(\"break\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# train_photo_id = pd.read_csv('../input/yelp-restaurant-photo-classification/train_photo_to_biz_ids/train_photo_to_biz_ids.csv')\n\n\n# train_photo_id = pd.read_csv('../input/yelp-restaurant-photo-classification/train_photo_to_biz_ids.csv', compression='gzip', header=0, sep=' ', quotechar='\"', error_bad_lines=False)\n\nwith tarfile.open('../input/yelp-restaurant-photo-classification/train_photo_to_biz_ids.csv.tgz', \"r:*\") as tar:\n    csv_path = tar.getnames()[1]\n    train_photo_id = pd.read_csv(tar.extractfile(csv_path), header=0, sep=\" \")\ntrain_photo_id.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"with tarfile.open('../input/yelp-restaurant-photo-classification/train.csv.tgz', \"r:*\") as tar:\n    csv_path = tar.getnames()[0]\n    train = pd.read_csv(tar.extractfile(csv_path), header=0, sep=\" \",error_bad_lines=False)\ntrain.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":1}